Shivam Bangia
Module Lead at IDfy
- Role
- Module Lead at IDfy
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Shivam Bangia
Enthusiastic coder, mentor, inventor and open source contributor with over 5 years of experience in building and working with Web Applications.Currently helping IDfy build its Transaction Intelligence Platform.Prior to this, I worked on a video based platform for KYC, which my team helped build from the ground up, which ultimately ended up pioneering the video KYC revolution in India.My areas of knowledge include Software Architecture, WebRTC, DevOps, GitOps, Infosec, Kubernetes and Cloud Computing. I have experience in building and scaling applications in several different styles of architecture.I have experience writing code in several languages, though I\'m most comfortable at the moment with Python and Elixir!
Experience
Module Lead
Oct 2023 — Present · Mumbai, IN
As a module lead for the IDfy Labs team, I\'m currently in charge of spearheading 2 projects. One of these is Privy, IDfy\'s new consent governance platform, and the other is IDfy\'s Bank Statement Analyzer.Under these projects I have spearheaded the development of many new products, including, but not limited to:1. Inspect AI - A revolutionary product that will help organizations find gaps in their DPDPA compliance in a matter of a few minutes. The solution was brainstormed by my team from the ground up and is currently awaiting approval on a patent.2. Cookie Manager - India\'s first ever cookie management platform, once again using a novel approach that was brainstormed by our team from the ground up.3. Bank Statement Analyser (also known as the Transaction Intelligence Platform)- IDfy\'s greatly updated bank statement analysis platform, which allows underwriters to analyze applicants\' bank statements to get a more holistic view of the applicants\' spending behavior. This was built to withstand scale, and is currently serving around 240K requests per month at minimal capacity. Uses proprietary machine learning models which help derive maximum insights from bank transactions.Apart from these, I have also- Experimented with fine tuning multiple machine learning models (BERT, DistilBERT, Flair) to solve the problem of deriving intelligence from monetary transactions from bank statements- Helped setup an MLOps pipeline using LabelStudio, Postgres, GCS and Kubernetes jobs that allowed for easy performance monitoring of these models, as well as allowing smooth and effortless updates to them- Led a team of 13 people to help build these projects under strict deadlines- Developed and implemented SOPs and guidelines to improve the team’s processes and align them with industry standards- Provided strategic leadership to team members and established clear, achievable goals to enhance their performance and professional growth.
Education
Birla Institute of Technology and Science, Pilani
Bachelor of Engineering Honours - BE (Hons.), Computer Science
2016 — 2020
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